Todo es una trampa
Explorando las trampas en el desarrollo de software y cómo evitarlas mediante pruebas unitarias, arquitectura hexagonal y principios de código limpio.
What's the Fuzz All About - Randomized Data Generation for Robust Unit Testing
Explore randomized data generation for robust unit testing using the Hypothesis library in Python, enhancing test coverage and detecting potential bugs through dynamic testing approaches.
Managing Mocks
Explore effective mocking techniques in Python for improved unit testing. Learn to create, manipulate, and inspect mock objects, handle common scenarios, and maximize the unittest.mock library's potential.
Writing Unit Tests for C Code in Python
Learn to write Python unit tests for C code using CFFI and pycparser. Explore creating mock functions, handling dependencies, and overcoming challenges in mixing Python and C for efficient testing.
Clean Code in Python
Learn principles for writing clean, maintainable Python code. Explore technical debt, refactoring, unit testing, and coding guidelines to improve code quality and readability in your projects.
Meson - Compiling the World with Python
Explore Meson, a Python-based build system designed for faster, simpler, and more efficient cross-platform software compilation, with built-in support for various development tasks.
Mock it Right! A Beginner’s Guide to World of Tests and Mocks
Explore unit testing with mocks and patches, covering best practices, common mistakes, and practical examples for beginners and experienced developers alike.
When Django is Too Bloated - Specialized Web-Applications with Werkzeug
Explore Werkzeug, a lightweight Python HTTP/WSGI utility, for building flexible web applications. Learn how to create custom stacks beyond traditional frameworks for specialized needs.
Proper Django Testing
Learn effective Django testing strategies to improve development speed and maintain project quality. Covers unit testing, mocking, project structure, and other testing methods.
Mocks, Dummies, Stubs & Spies
Explore testing doubles in Python: mocks, fakes, dummies, stubs, and spies. Learn their differences, use cases, and implementation techniques for effective unit testing and dependency isolation.
Get Productive with Python in Visual Studio Code
Maximize Python productivity with Visual Studio Code: from basic setup to advanced features like debugging, testing, and collaborative coding. Learn tips and tricks for efficient development.
Running Unit Test on Top of Serverless Service
Explore serverless architecture for unit testing, including parallelization approaches, implementation insights, and cost-benefit analysis for improved developer productivity.
Code Coverage Through Unit Tests Running in Sub-Processes - Threads - Locally and Automated on GitHub
Learn to measure and improve code coverage for tests running in sub-processes/threads, locally and on GitHub. Explore techniques to enhance reliability and automate the process using CI tools.
Test Your Data Like You Test Your Code
Discover data unit testing: a crucial tool for data scientists to ensure product quality. Learn implementation techniques and best practices for robust data-driven solutions.
The Power of Spec-Based Testing - Adding Functional Requirements to Unit Test
Explore spec-based testing to enhance software quality by verifying behavior against specifications. Learn how this technique complements unit testing for more effective and efficient quality assurance.
Offline Database Development and Unit Testing with SSDT
Explore offline database development, unit testing, and customization in SQL Server Data Tools. Learn to create test projects, write T-SQL unit tests, and extend functionality with C#.
Improving Database Code Quality with Unit Tests
Learn to implement unit testing for T-SQL code, enhancing database quality. Discover tools and techniques for automated testing, test-driven design, and integrating tests into your development workflow.
XDP 1.5 Years in Production - Evolution and Lessons Learned
Evolution of XDP and BPF in production: performance improvements, operational challenges, and future enhancements. Insights from Facebook's network processing implementation using XDP for over 1.5 years.
KUnit - Unit Testing for the Linux Kernel
KUnit: Lightweight unit testing framework for Linux kernel. Learn about its importance, implementation, and future roadmap. Explore challenges and testing paradigms in kernel development.
Improving the eBPF Developer Experience with Rust
Explore enhancing eBPF development using Rust, focusing on improved developer experience, unit testing, and ecosystem advantages. Learn key benefits and collaborative approaches.
Making Mock Objects More Useful
Explore techniques to enhance mock objects in Swift, improving unit test expressiveness and power. Learn from mocking libraries to create more effective hand-made mocks for better test-driven development.